Supabase
Firebase
Next.js
AppWrite
Vercel
Hasura
Etebase
Strapi
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
ML5.js
TensorFlow
Google Cloud Machine Learning
mlblocks
Supabase Amazon Machine LearningBased on our record, Supabase seems to be a lot more popular than Amazon Machine Learning. While we know about 438 links to Supabase, we've tracked only 2 mentions of Amazon Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Supabase is a database for storage and authentication - available for free. - Source: dev.to / 5 days ago
In this article, we'll show you how to create a handy web app that can summarize the content of any web page. Using Next.js for a smooth and fast web experience, LangChain for processing language, OpenAI for generating summaries, and Supabase for managing and storing vector data, we'll build a powerful tool together. - Source: dev.to / 7 days ago
I see it differently. In the 25 years I've been working in this industry I see a welcome trend toward doing more in the database, such that the impedance mismatch dissipates: https://gist.github.com/cpursley/c8fb81fe8a7e5df038158bdfe0f06dbb https://supabase.com/ One way to eliminate the Java-SQL impedance (for example) mismatch is to delete Java altogether, along with JOOQ,... - Source: Hacker News / 27 days ago
My initial, now long abandoned, plan was to use Next/Nuxt to create the front-end and have the back-end be in Python, to allow me to use the recipe-scrapers library, and to use Supabase to organise the database of users and their collection of recipes, and allow the users to enter a list of ingredients and be presented with a selection of recipes from their own curated collection that contained those recipes,... - Source: dev.to / 26 days ago
Step 1: Sign up at supabase.com and create a new project. - Source: dev.to / 28 days ago
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Next.js - A small framework for server-rendered universal JavaScript apps
Lobe - Visual tool for building custom deep learning models
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
Apple Machine Learning Journal - A blog written by Apple engineers
